Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory?

8 December 2020

Papers citing "Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory?"

6 / 6 papers shown

Title
Issues with Neural Tangent Kernel Approach to Neural Networks Haoran Liu Anthony S. Tai David J. Crandall Chunfeng Huang 39 0 0 19 Jan 2025
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks Andrea Bonfanti Giuseppe Bruno Cristina Cipriani 32 7 0 06 Feb 2024
Width and Depth Limits Commute in Residual Networks Soufiane Hayou Greg Yang 42 14 0 01 Feb 2023
Joint Embedding Self-Supervised Learning in the Kernel Regime B. Kiani Randall Balestriero Yubei Chen S. Lloyd Yann LeCun SSL 43 13 0 29 Sep 2022
Gaussian Pre-Activations in Neural Networks: Myth or Reality? Pierre Wolinski Julyan Arbel AI4CE 68 8 0 24 May 2022
The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization Mufan Bill Li Mihai Nica Daniel M. Roy 28 33 0 07 Jun 2021